Machine Learning: Step-by-Step Guide To Implement Algorithms with Python

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文件名称：Machine Learning: Step-by-Step Guide To Implement Algorithms with Python
文件大小：1.62MB
文件格式：PDF
更新时间：2022-01-27 13:48:46
Design Machine Learning: Step-by-Step Guide To Implement Machine Learning Algorithms with Python By 作者: Rudolph Russell ISBN-10 书号: 1719528403 ISBN-13 书号: 9781719528405 出版日期: 2018-05-22 pages 页数: 106 This book contains illustrations and step-by-step explanations with bullet points and exercises for easy and enjoyable learning. Benefits of reading this book that you’re not going to find anywhere else: Introduction to Machine Learning Classification How to train a Model Different Models Combinations CHAPTER1 INTRODUCTION TO MACHINE LEARNING Theory What is machine learning? Why machine learning? When should you use machine learning? Types of Systems of Machine Learning Supervised and unsupervised learning Reinforcement Learning Batch Learning Online Learning Instance based learning Model-based learning Bad and Insufficient Quantity of Training Data Poor-Quality Data Irrelevant Features Testing Overfitting the Data Underfitting the Data EXERCISES SUMMARY REFERENCES CHAPTER2 CLASSIFICATION Installation The MNIST Measures of Performance Confusion Matrix Recall Recall Tradeoff ROC Multi-class Classification Training a Random Forest Classifier Error Analysis Multi-label Classifications Multi-output Classification EXERCISES REFERENCES CHAPTER3 HOW TO TRAIN A MODEL Linear Regression Computational Complexity Gradient Descent Batch Gradient Descent Stochastic Gradient Descent Mini-Batch Gradient Descent Polynomial Regression Learning Curves Regularized Linear Models EXERCISES SUMMARY REFERENCES Chapter4 Different models combinations